Changeset 12689 for branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification

Timestamp:

07/08/15 15:32:12 (9 years ago)

Author:

dglaser

Message:

#2388: Merged trunk into HiveStatistics branch

Location:

branches/HiveStatistics/sources

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs (modified) (1 diff)

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs

@@ -57 +57 @@
       OnlineCalculatorError errorState;
 
-      double r2;
+      double r;
       if (applyLinearScaling) {
-        var r2Calculator = new OnlinePearsonsRSquaredCalculator();
-        CalculateWithScaling(targetValues, estimatedValues, lowerEstimationLimit, upperEstimationLimit, r2Calculator, problemData.Dataset.Rows);
-        errorState = r2Calculator.ErrorState;
-        r2 = r2Calculator.RSquared;
+        var rCalculator = new OnlinePearsonsRCalculator();
+        CalculateWithScaling(targetValues, estimatedValues, lowerEstimationLimit, upperEstimationLimit, rCalculator, problemData.Dataset.Rows);
+        errorState = rCalculator.ErrorState;
+        r = rCalculator.R;
       } else {
         IEnumerable<double> boundedEstimatedValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
-        r2 = OnlinePearsonsRSquaredCalculator.Calculate(targetValues, boundedEstimatedValues, out errorState);
+        r = OnlinePearsonsRCalculator.Calculate(targetValues, boundedEstimatedValues, out errorState);
       }
 
-      if (errorState != OnlineCalculatorError.None) r2 = double.NaN;
-      return new double[2] { r2, solution.Length };
+      if (errorState != OnlineCalculatorError.None) r = double.NaN;
+      return new double[2] { r*r, solution.Length };
 
     }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs

@@ -57 +57 @@
       OnlineCalculatorError errorState;
 
-      double r2;
+      double r;
       if (applyLinearScaling) {
-        var r2Calculator = new OnlinePearsonsRSquaredCalculator();
-        CalculateWithScaling(targetValues, estimatedValues, lowerEstimationLimit, upperEstimationLimit, r2Calculator, problemData.Dataset.Rows);
-        errorState = r2Calculator.ErrorState;
-        r2 = r2Calculator.RSquared;
+        var rCalculator = new OnlinePearsonsRCalculator();
+        CalculateWithScaling(targetValues, estimatedValues, lowerEstimationLimit, upperEstimationLimit, rCalculator, problemData.Dataset.Rows);
+        errorState = rCalculator.ErrorState;
+        r = rCalculator.R;
       } else {
         IEnumerable<double> boundedEstimatedValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
-        r2 = OnlinePearsonsRSquaredCalculator.Calculate(targetValues, boundedEstimatedValues, out errorState);
+        r = OnlinePearsonsRCalculator.Calculate(targetValues, boundedEstimatedValues, out errorState);
       }
       if (errorState != OnlineCalculatorError.None) return double.NaN;
-      return r2;
+      return r*r;
     }